Smart solutions for automated imaging

Eisenstein, Michael

doi:10.1038/s41592-020-00988-2

2020-10-19

Eisenstein, Michael

DOI：10.1038/s41592-020-00988-2

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Algorithms trained to interpret microscope data can greatly extend the information that can be derived from the resulting images, or even optimize how imaging experiments are conducted.

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期刊

Nature Methods

IF:

32.1

论文数:

7.2K

被引数:

12.7W

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